code: def read_partition(cls, fs, parts, schema, columns, **kwargs):
      batches = []
      for path, stripes in parts:
          batches += _read_orc_stripes(
              fs, path, stripes, schema, columns
          )
      return pa.Table.from_batches(batches).to_pandas(
          date_as_object=False
      )
  
file_path: dask/dask/dataframe/io/orc/arrow.py
imports: from __future__ import annotations
  import pyarrow
  import pyarrow.orc
  from dask.dataframe.io.utils import _get_pyarrow_dtypes, _meta_from_dtypes
label_desc: Use image node_id 3 for calling the ArrowORCEngine obj's underlying member method code with example usage: obj.read_partition(cls, fs, parts, schema, columns) and returns: pa